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https://issues.apache.org/jira/browse/SOLR-13132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17145089#comment-17145089
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Michael Gibney commented on SOLR-13132:
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Sorry for the delayed response; these changes and proposals look great.
The allowance for the possibility that {{base==null}} was vestigial after the
removal of code related to SOLR-13807, so it's good that you removed it in
ca3c1dbcd9f363fb77a7c24dfbc41f2be906ef08 – thanks for catching that.
I just pushed a couple of commits: (one trivial typo correction) and one that
removes the added respect for {{cacheDf}} filterCache control (in line with
your suggestion above; also equivalent to the suggestion to "Stick with caching
everything").
The {{cacheDf}} removal was pretty cut-and-dry; so assuming that's ok, perhaps
the only remaining question is "what is the allBucketSlotNum when sweeping?".
I'm definitely comfortable with the initial "hackish" approach as you've
refined it in your recent commit (07960feebbd97d52732b0fea111e2ce33b74ef0e),
and considering the reasons you've outlined in the comment above.
> Improve JSON "terms" facet performance when sorted by relatedness
> ------------------------------------------------------------------
>
> Key: SOLR-13132
> URL: https://issues.apache.org/jira/browse/SOLR-13132
> Project: Solr
> Issue Type: Improvement
> Components: Facet Module
> Affects Versions: 7.4, master (9.0)
> Reporter: Michael Gibney
> Priority: Major
> Attachments: SOLR-13132-with-cache-01.patch,
> SOLR-13132-with-cache.patch, SOLR-13132.patch, SOLR-13132_testSweep.patch
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> When sorting buckets by {{relatedness}}, JSON "terms" facet must calculate
> {{relatedness}} for every term.
> The current implementation uses a standard uninverted approach (either
> {{docValues}} or {{UnInvertedField}}) to get facet counts over the domain
> base docSet, and then uses that initial pass as a pre-filter for a
> second-pass, inverted approach of fetching docSets for each relevant term
> (i.e., {{count > minCount}}?) and calculating intersection size of those sets
> with the domain base docSet.
> Over high-cardinality fields, the overhead of per-term docSet creation and
> set intersection operations increases request latency to the point where
> relatedness sort may not be usable in practice (for my use case, even after
> applying the patch for SOLR-13108, for a field with ~220k unique terms per
> core, QTime for high-cardinality domain docSets were, e.g.: cardinality
> 1816684=9000ms, cardinality 5032902=18000ms).
> The attached patch brings the above example QTimes down to a manageable
> ~300ms and ~250ms respectively. The approach calculates uninverted facet
> counts over domain base, foreground, and background docSets in parallel in a
> single pass. This allows us to take advantage of the efficiencies built into
> the standard uninverted {{FacetFieldProcessorByArray[DV|UIF]}}), and avoids
> the per-term docSet creation and set intersection overhead.
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